swMATH ID: 30760
Software Authors: Myle Ott; Sergey Edunov; Alexei Baevski; Angela Fan; Sam Gross; Nathan Ng; David Grangier; Michael Auli
Description: fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks.
Homepage: https://arxiv.org/abs/1904.01038
Source Code:  https://github.com/pytorch/fairseq
Dependencies: Python; PyTorch
Related Software: PyTorch; BERT; Python; AllenNLP; Tensor2Tensor; Transformers; wav2vec; LibriSpeech; TensorFlow; Adam; RoBERTa; Scikit; OpenNMT; Espresso; PyTorch-Kaldi; SentencePiece; PyTorch Lightning; QuartzNet; Jasper; SUPERB
Cited in: 4 Documents

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